DocumentCode
2063438
Title
Evaluation of residual service life of high voltage circuit breaker
Author
Huang Kai ; Zhao Shuqiang
Author_Institution
North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
10-14 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
It makes evaluation of residual service life on the high voltage circuit breaker more difficult, because of the uncertainty (fuzziness, randomness) and complexity of high voltage circuit breaker life influencing factors, so this paper presents a service life assessment model based on fuzzy reliability. The fuzziness and randomness of the parameter characteristics about high voltage circuit breaker are analysed, the distribution function and the fuzzy membership function of the parameters are obtained. With the online monitoring datas, using the random theory and the fuzzy theory calculate the fuzzy reliability of high voltage circuit breaker. For maintenance of high voltage circuit breaker causing data mutation, this paper uses a improved gray GIM (1, 1) prediction method based on the step data sequence, it realizes to predict the residual service life of high voltage circuit breaker. Finally, using SF6 high voltage circuit breaker as the example, verifies the rationality of the remaining life assessment model of high voltage circuit breaker.
Keywords
SF6 insulation; circuit breakers; fuzzy set theory; high-voltage engineering; maintenance engineering; random processes; reliability; remaining life assessment; SF6 high voltage circuit breaker; data mutation; distribution function; fuzziness; fuzzy membership function; fuzzy reliability; fuzzy theory; high voltage circuit breaker maintenance; improved gray GIM (1, 1) prediction method; online monitoring datas; parameter characteristics; random theory; randomness; remaining life assessment model; residual service life evaluation; service life assessment model; step data sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Electricity Distribution (CICED), 2012 China International Conference on
Conference_Location
Shanghai
ISSN
2161-7481
Print_ISBN
978-1-4673-6065-4
Electronic_ISBN
2161-7481
Type
conf
DOI
10.1109/CICED.2012.6508698
Filename
6508698
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